In many applications, including climate science, power systems, and remote sensing, multiple input variables are observed for each output variable and the output variables are dependent. Several methods have been proposed to improve prediction by learning the conditional distribution of the output variables. However, when the relationship between the raw features and the outputs is nonlinear, t...

the main design objective of axial compressor is the efficiency increasing, pressure ratio and weight loss. these three parameters are used as an objective function and they are computed according to adopted design procedures. in this paper, a design method is presented that named quasi-three-dimensional. physical flow conditions are applied to design by some constraints to avoid irrational res...

This paper presents an application of Support Vector Regression method for the prediction of an environmental variable such as the level of natural radioactivity. The basics of the method are described, and some practical considerations are presented, including the meaning of the method’s parameters and their influence on the model. The use of the prior data is discussed. It is shown how to inc...

We describe 'Active Shape Models' which iteratively adapt to refine estimates of the pose, scale and shape of models of image objects. The method uses flexible models derived from sets of training examples. These models, known as Point Distribution Models, represent objects as sets of labelled points. An initial estimate of the location of the model points in an image is improved by attempting ...